High-definition map representation techniques for automated vehicles
Many studies in the field of robot navigation have focused on environment representation
and localization. The goal of map representation is to summarize spatial information in …
and localization. The goal of map representation is to summarize spatial information in …
Social coordination and altruism in autonomous driving
Despite the advances in the autonomous driving domain, autonomous vehicles (AVs) are
still inefficient and limited in terms of cooperating with each other or coordinating with …
still inefficient and limited in terms of cooperating with each other or coordinating with …
A survey on datasets for the decision making of autonomous vehicles
Autonomous vehicles (AVs) are expected to reshape future transportation systems, and
decision making is one of the critical modules toward high-level automated driving. To …
decision making is one of the critical modules toward high-level automated driving. To …
Robustness and adaptability of reinforcement learning-based cooperative autonomous driving in mixed-autonomy traffic
Building autonomous vehicles (AVs) is a complex problem, but enabling them to operate in
the real world where they will be surrounded by human-driven vehicles (HVs) is extremely …
the real world where they will be surrounded by human-driven vehicles (HVs) is extremely …
A survey on autonomous driving datasets: Data statistic, annotation, and outlook
Autonomous driving has rapidly developed and shown promising performance with recent
advances in hardware and deep learning methods. High-quality datasets are fundamental …
advances in hardware and deep learning methods. High-quality datasets are fundamental …
Cooperative autonomous vehicles that sympathize with human drivers
Widespread adoption of autonomous vehicles will not become a reality until solutions are
developed that enable these intelligent agents to co-exist with humans. This includes safely …
developed that enable these intelligent agents to co-exist with humans. This includes safely …
A survey on autonomous driving datasets: Statistics, annotation quality, and a future outlook
Autonomous driving has rapidly developed and shown promising performance due to recent
advances in hardware and deep learning techniques. High-quality datasets are fundamental …
advances in hardware and deep learning techniques. High-quality datasets are fundamental …
Predictive model-based and control-aware communication strategies for cooperative adaptive cruise control
Utilizing Vehicle-to-everything (V2X) communication technologies, vehicle platooning
systems are expected to realize a new paradigm of cooperative driving with higher levels of …
systems are expected to realize a new paradigm of cooperative driving with higher levels of …
Augmented driver behavior models for high‐fidelity simulation study of crash detection algorithms
A Jami, M Razzaghpour, H Alnuweiri… - IET Intelligent …, 2024 - Wiley Online Library
Developing safety and efficiency applications for Connected and Automated Vehicles
(CAVs) requires a great deal of testing and evaluation. The need for the operation of these …
(CAVs) requires a great deal of testing and evaluation. The need for the operation of these …
Error-Driven Information-Passing Policy for Model-based Position Tracking in Vehicular Networks
A Raftari, M Razzaghpour… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The emerging Vehicle-to-Everything (V2X) communication technologies, ie Dedicated Short-
Range Communications (DSRC) and Cellular-V2X (C-V2X), enhance the performance of …
Range Communications (DSRC) and Cellular-V2X (C-V2X), enhance the performance of …